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MS Information Systems

MS INFORMATION SYSTEMS

Become a part of the future in the tech capital of the world.

Information systems drive business. All the way from the companies that build the technology itself to disparate disciplines such as construction, education, and banking—the speed of business is dependent on IS. Our MS IS is born of and lives in Silicon Valley. Led by faculty recruited from top companies, our project-based curriculum draws from real-world challenges that you can put to use immediately.

Program Overview

Program duration: Flexible program length from 18 to 27 months.

Time/schedule: Evening/Saturday classes to balance work, life, and study.

Course delivery: Custom class schedule to build foundations and to meet your interest and needs.

STEM-approved

Learn how to design and build the information systems that shape the future, no matter what your undergraduate degree is.

We constantly refresh our STEM-approved curriculum at Silicon Valley speed to offer you both the fundamentals that you need for success and the latest technology such a machine learning, data science, or mobile programming for a profile that excites your future employer.  You crown your time at Santa Clara University with a capstone project that allows you to solve an important problem for one of our Silicon Valley company partners or to pursue an own idea that may end up to be the nucleus of your own company. You choose; you excel.


Silicon Valley Centered

Ideally positioned in Silicon Valley, Santa Clara University—and its strong relationships with industry leaders—gives MSIS students exposure to leading-edge technology, current business practices, and networking opportunities with potential employers.

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Cutting-Edge Curriculum

Blending business and information systems core courses, our MSIS curriculum is the foundation for your growth as a key contributor in any industry. Coursework is project-based, connecting learning to actual challenges in the field.

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STEM Approved

Beyond strong foundations, our MSIS curriculum includes electives such as Big Data, Mobile Payments, Data Science, and Machine Learning. Optional Practical Training (OPT) extension has been approved for international students.

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